Skip to main content
Log in

Lossless visible watermarking based on adaptive circular shift operation for BTC-compressed images

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Most existing BTC (Block Truncation Coding) based watermarking algorithms do not fully exploit visual perception of the host images. These schemes cannot obtain visual quality of stego-images and recover original images without distortion. To solve this issue, a new reversible visible watermarking scheme based on AMBTC (Absolute Moment Block Truncation Coding) domain is proposed. First, the proposed scheme uses adaptive pixel circular shift operation that adapts to local properties of the image to embed the visible watermark into two level (one-bit) nonparametric quantization levels of AMBTC according to the parity of the bit plane of AMBTC triple. The watermark signal can be extracted according to the parity of the Bit plane. The experimental results prove that the algorithm can achieve high visual quality of stego-images and recover original BTC-compressed image losslessly. Moreover, it is robust against common signal processing attacks. The visible watermarking algorithm can be applied to copyright of digital images in real-time environment because of the low time consumption due to the simplicity of AMBTC.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Celik MU, Sharma G, Tekalp AM, Saber E (2005) Lossless generalized-LBS data embedding. IEEE Trans Image Process 14(2):354–362

    Article  Google Scholar 

  2. Chang CC, Chou YC, Lin CY (2007) Reversible data hiding in the VQ-compressed domain. IEICE Trans Inf Syst E90-D(9):1422–1429

    Article  Google Scholar 

  3. Chang CC, Lin CY (2006) Reversible steganography for VQ-compressed images using side matching and relocation. IEEE Trans Inf Forensics Secur 1(4):493–501

    Article  Google Scholar 

  4. Chang C-C, Lin C-Y, Fan Y-H (2011) Reversible steganography for BTC-compressed images. Fundamenta Informaticae 109(2):121–134

    MathSciNet  Google Scholar 

  5. Delp EJ, Mitchell OR (1979) Image compressions using block truncation coding. IEEE Trans Commun 27:1335–1342

    Article  Google Scholar 

  6. Guo J-M, Wu M-F, Kang Y-C (2009) Watermarking in conjugate ordered dither block truncation coding images. Sig Process (89)1864–1882

  7. Hartung F, Kutter M (1999) Multimedia watermarking. Proc IEEE 87(7):1079–1107

    Article  Google Scholar 

  8. Hong W, Chen T-S, Shiu C-W. Lossless Steganography for AMBTC-Compressed Images. Proceedings of 2008 I.E. Congress on Image and Signal Processing

  9. Luo H, Zhao Z, Lu ZM. Joint secret sharing and data hiding for block truncation coding compressed image transmission. Inf Technol J 10:681–685

  10. Mohammad N, Sun X, Yang H (2014) An adaptive visible watermarking algorithm for BTC compressed image. Inf Technol J 13(3):536–541

    Article  Google Scholar 

  11. Pasi F, Olli N (1995) Block truncation coding with entropy coding. IEEE Trans Commun 43(2/3/4):1677–1685

    Article  Google Scholar 

  12. Shi M, Li B (2012) Dual image watermarking algorithm based on block truncation code. Int J Comput Sci Issues 9(6):466–473

    Google Scholar 

  13. Wei S (2006) “Reversible data hiding”, circuits and systems for video technology. IEEE Trans Ind Appl 16(3):354–362

    Google Scholar 

  14. Wien H, Tung-Shou C, Lin KY, Chang WC (2010) A modified histogram shifting based reversible data hiding scheme for high quality images. Inf Technol J 9:179–183

    Article  Google Scholar 

  15. Yang H, Yin J (2015) A secure removable visible watermarking for BTC compressed images. Multimed Tools Appl 74(6):1725–1739

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by Hunan Provincial Natural Science Foundation of China (2016JJ6022), National Natural Science Foundation of China (61232016, 61073191, 61070196), National Basic Research Program 973 (2009CB326202, 2010CB334706), Key laboratory of informationization technology for basic education in Hunan province (02015TP1017).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hengfu Yang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mohammad, N., Sun, X., Yang, H. et al. Lossless visible watermarking based on adaptive circular shift operation for BTC-compressed images. Multimed Tools Appl 76, 13301–13313 (2017). https://doi.org/10.1007/s11042-016-3757-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-016-3757-8

Keywords

Navigation